Data Engineering with AWS Cookbook
A recipe-based approach to help you tackle data engineering problems with AWS services
Authors
Trâm Ngọc Phạm is a senior data architect with over a decade of
hands-on experience working in the big data and AI field, from playing a lead role
in tailoring cloud data platforms to BI and analytics use cases for enterprises in
Vietnam. While working as a Senior Data and Analytics consultant for the AWS
Professional Services team, she specialized in guiding finance and telco companies
across Southeast Asian countries to build enterprise-scale data platforms and drive
analytics use cases that utilized AWS services and big data
tools.González Gonzalo Herreros :
Gonzalo Herreros González is a principal data architect. He holds a
bachelor's degree in computer science and a master's degree in data analytics. He
has experience of over a decade in big data and two decades of software development,
both in AWS and on-premises. Previously, he worked at MasterCard where he achieved
the first PCI-DSS Hadoop cluster in the world. More recently, he worked at AWS for
over 6 years, building data pipelines for the internal network data, and later, as
an architect in the AWS Glue service team, building transforms for AWS Glue Studio
and helping large customers succeed with AWS data services.Khan Viquar :
Viquar Khan is a senior data architect at AWS Professional Services
and brings over 20 years of expertise in finance and data analytics, empowering
global financial institutions to harness the full potential of AWS technologies. He
designs cutting-edge, customized data solutions tailored to complex industry needs.
A polyglot developer skilled in Java, Scala, Python, and other languages, Viquar has
excelled in various technical roles. As an expert group member of JSR368 (JavaTM
Message Service 2.1), he has shaped industry standards and actively contributes to
open source projects such as Apache Spark and Terraform. His technical insights have
reached and benefited over 6.7 million users on Stack Overflow.Nofal Huda :
Huda Nofal is a seasoned data engineer with over 7 years of experience at Amazon, where she has played a key role in helping internal business teams achieve their data goals. With deep expertise in AWS services, she has successfully designed and implemented data pipelines that power critical decision-making processes across various organizations. Huda's work primarily focuses on leveraging Redshift, Glue, data lakes, and Lambda to create scalable, efficient data solutions.
